Network planning and on-going optimization is an imperative aspect for any wireless carrier in order to ensure acceptable levels of service for users, thereby reducing churn. Now, with the boom in mobile broadband infrastructure deployments, Self-Organizing Network (SON) solutions promise to automate the planning, configuration and on-going optimization of Radio Access Networks (RANs). ARCchart estimates that SON in its full implementation, as defined by the 3GPP, can automate as many as 60% of all tasks typically performed by a RAN optimization engineer.
A Self-Organizing Network is a network that can automatically configure and continuously optimize the parameters of its sub-elements with the aim of optimising network performance, capacity and coverage.
This report provides a global assessment of the SON market. In addition to assessing the key market trends, vendor strategies and the industry’s future roadmap, the report quantifies OpEx and CapEx savings possible through the implementation of SON, and provides detailed market forecasts for SON software revenues from 2012 through to 2017, from both global and regional perspectives. The report also considers revenues for the legacy RAN planning & optimization software market. Historical figures are also provided for 2011.
Topics of coverage include:
- RAN planning and optimization
- SON business case
- Factors driving the SON market
- Challenges to the SON ecosystem
- SON functional areas and implementation architectures
- Future roadmap of the SON industry
- Profiles of key SON software vendors
- Wireless Network and HetNet Infrastructure Spending
- Market sizing and forecast
Companies and organisations mentioned, discussed or reviewed include:
Eden Rock Communications
France Telecom (Orange)
Globe Telecom Phillipines
Nokia Siemens Networks
Answers and opinions are provided with respect to the following
- How will LTE and HetNet Infrastructure deployments drive the SON software market?
- How will SON impact the traditional RAN planning and optimization consultancy market?
- What percentage of RAN planning, optimization and monitoring tasks can SON automate?
- How does SON software revenue compare with spending on traditional RAN planning and optimization software?
- Which region represents the largest SON market opportunity?
- How much OpEx and CapEx savings can mobile network operators attain from SON, and how will these savings vary regionally?
- Which region will experience the fastest growth in SON adoption?
- What extent of energy savings can mobile network operators expect from SON implementation?